Instructions to use Miayan/project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/project", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44b2d7ee82a5934de3415c7b00faca6570c2770ad48aef908c9e01d72b288ff2
- Size of remote file:
- 1.46 GB
- SHA256:
- cc2bf7ab58e85623aa7b19dc822e8506695b46c3f0818d68cd4d40ce80badbdc
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